We study how author-editor and author-reviewer network connectivity and "match" influence editor decisions and reviewer recommendations of economic research at the Journal of Human Resources. Our empirical strategy employs several dimensions of fixed effects to overcome concerns of endogenous...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...

Over the past 40 years, higher education institutions in the U.S. have experienced a dramatic shift in the racial composition of students enrolled in both undergraduate and graduate programs. Using administrative data from a large, diverse university in California, we identify the extent to...